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On-line global maximum power point (GMPP) identification of solar PV plants

机译:太阳能光伏电站的在线全球最大功率点(GMPP)识别

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This paper introduces an algorithm to identify the global maximum power point (GMPP) of a solar Photovoltaic (PV) plant while operating under the partial shade condition (PSC) or fault condition (FC). Conventionally a complete current vs. voltage (or I-V) curve of the faulty PV array is swept to identify the GMPP. However, this paper proposes that a part or `region of interest' of the I-V curve would be sufficient to identify the GMPP, and there is no need to sweep complete I-V curve. For verification purposes, real-time experimental tests were conducted.
机译:本文介绍了一种算法,该算法可识别在部分阴影条件(PSC)或故障条件(FC)下运行的太阳能光伏(PV)工厂的全局最大功率点(GMPP)。常规上,扫描故障PV阵列的完整电流-电压(或I-V)曲线以识别GMPP。但是,本文提出I-V曲线的一部分或“感兴趣区域”足以识别GMPP,并且无需扫描完整的I-V曲线。为了验证目的,进行了实时实验测试。

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